Sentence examples for warehouse implementation from inspiring English sources

Exact(2)

The crux of data warehouse implementation and architecture is that a data warehouse is intended for use by end users, not by the techies who build the database.

Collectively, Hadoop can refer to several technologies such as HDFS, Hive, MapReduce, Pig, etc. HDFS is the Hadoop Distributed File System, Hive is a data warehouse implementation for Hadoop, MapReduce is a programming model in Hadoop, and Pig is a querying language for Hadoop which has similarities to the SQL language for relational databases.

Similar(58)

Governmental data warehouse implementations are rare, especially at the national level.

The guidelines and analysis provided are sufficiently general and they can be applicable to a variety of databases, in particular to data warehouse implementations, for decision support systems.

Drawing on the experiences from the systems development field, we surmise that an effective design tool will enhance the success of warehouse implementations.

The strategic view of the data warehouse prior to implementation emerged as a key determinant.

In this article, the authors provide an operational and technical definition of data warehouses, present examples of data mining projects enabled by existing data warehouses, and describe key issues and challenges related to warehouse development and implementation.

Two employees working in the warehouse volunteered to drive implementation and, having undergone testing and counselling at a nearby clinic, are now busy convincing their colleagues to do the same.

Security is thus a key issue in the design of data warehouses, regardless of the implementation technology used.

It effects almost every decision throughout implementation of data warehouse or business intelligence system.

Based on these considerations, the implementation of the warehouse task and its challenges, including the representation of the parts in the control system, object recognition using generalized models and methods for part origin determination will be presented.

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